EP243: Smashing the Data Wall

Title: Generating Pretraining Tokens from Organic Data for Data-Bound ScalingSource: http://arxiv.org/abs/2605.17849v1Summary:This work addresses the transition of LLM pretraining into data-bound regimes by introducing a synthetic data generation framework that maximizes the utility of limited organic datasets. It represents a significant breakthrough in scaling laws, demonstrating how to unlock up to 5x more effective tokens through model-aware rephrasing and reformatting.